A benchmark dataset for the evaluation of retinal image registration methods is introduced. The dataset consists on 134 image pairs and is annotated with ground truth for their registration, in the form of point correspondences between them. In addition, a protocol for the quantitative assessment of the accuracy of retinal image registration methods, as well as their comparative evaluation is suggested.